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Cobalt Operations Team: Hours and payroll workbook

Hours and payroll workbook for Cobalt Operations Team. Two worksheets: Shifts (48 rows) and Register (9 rows). The Register sheet is derived entirely from the Shifts sheet plus the declared rates, so the workbook carries the input and the output of one payroll run and both total 9072.00 gross.

Rendered preview of Cobalt Operations Team: Hours and payroll workbook

Rendered preview of the xlsx file (8.3 KB). Download above for the original.

Specifications

Document Set
payroll
Industry
people-operations
Source Kit
people-operations
Synthetic
true
As Of
2026-09-08
Sheets
2
Shifts
48
Employees
8

Testing contract

Expected to pass
Scenario
Open the workbook and rebuild the Register sheet from the Shifts sheet.
Expected result
Grouping the 48 Shifts rows by employee and applying the rates reproduces all 8 Register rows including net pay, and both sheets agree on 9072.00 of gross.

What is a .xlsx file?

XLSX is the default Microsoft Excel format, an Office Open XML spreadsheet stored as a ZIP archive containing worksheet XML, shared strings, styles, and formulas. It supports multiple sheets, cell formatting, charts, and calculated values. It is the standard for editable tabular workbooks.

How to use this file

Use an example XLSX to test spreadsheet parsing, formula and multi-sheet handling, shared-string extraction, and pipelines that read or generate Excel workbooks.

How to use this file for testing

“Cobalt Operations Team: Hours and payroll workbook” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 2 sheets. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

from openpyxl import load_workbook

wb = load_workbook("timesheet-hours.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)

Generated by generation/industry_documents.py. Free for any use, no attribution required, license.